Papers
Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction
Haoran Luo, Haihong E, Yuhao Yang et al.
Text-Aware Diffusion for Policy Learning
Calvin Luo, Mandy He, Zilai Zeng et al.
TextCtrl: Diffusion-based Scene Text Editing with Prior Guidance Control
Weichao Zeng, Yan Shu, Zhenhang Li et al.
Text-DiFuse: An Interactive Multi-Modal Image Fusion Framework based on Text-modulated Diffusion Model
Hao Zhang, Lei Cao, Jaiyi Ma
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models
Lu Yu, Haiyang Zhang, Changsheng Xu
Text-Infused Attention and Foreground-Aware Modeling for Zero-Shot Temporal Action Detection
Yearang Lee, Ho-Joong Kim, Seong-Whan Lee
Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights
Zhikai Chen, Haitao Mao, Jingzhe Liu et al.
Text to Blind Motion
Hee Jae Kim, Kathakoli Sengupta, Masaki Kuribayashi et al.
Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection
Saehyung Lee, Jisoo Mok, Sangha Park et al.
TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering
Jun Dan, Weiming Liu, Chunfeng Xie et al.
TFG: Unified Training-Free Guidance for Diffusion Models
Haotian Ye, Haowei Lin, Jiaqi Han et al.
TFS-NeRF: Template-Free NeRF for Semantic 3D Reconstruction of Dynamic Scene
Sandika Biswas, Qianyi Wu, Biplab Banerjee et al.
TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs
Julia Gastinger, Shenyang Huang, Mikhail Galkin et al.
The ALCHEmist: Automated Labeling 500x CHEaper than LLM Data Annotators
Tzu-Heng Huang, Catherine Cao, Vaishnavi Bhargava et al.
The Art of Saying No: Contextual Noncompliance in Language Models
Faeze Brahman, Sachin Kumar, Vidhisha Balachandran et al.
The Bayesian sampling in a canonical recurrent circuit with a diversity of inhibitory interneurons
Eryn Sale, Wen-Hao Zhang
The Benefits of Balance: From Information Projections to Variance Reduction
Lang Liu, Ronak Mehta, Soumik Pal et al.
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection
Qingyang Zhang, Qiuxuan Feng, Joey Tianyi Zhou et al.
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks
Andrea Bonfanti, Giuseppe Bruno, Cristina Cipriani
The Closeness of In-Context Learning and Weight Shifting for Softmax Regression
Shuai Li, Zhao Song, Yu Xia et al.
The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize
Dongyan Lucy Huo, Yixuan Zhang, Yudong Chen et al.
The Dormant Neuron Phenomenon in Multi-Agent Reinforcement Learning Value Factorization
Haoyuan Qin, Chennan Ma, Mian Deng et al.
The Edge-of-Reach Problem in Offline Model-Based Reinforcement Learning
Anya Sims, Cong Lu, Jakob N. Foerster et al.
The Elephant in the Room: Towards A Reliable Time-Series Anomaly Detection Benchmark
Qinghua Liu, John Paparrizos
The Empirical Impact of Neural Parameter Symmetries, or Lack Thereof
Derek Lim, Theo (Moe) Putterman, Robin Walters et al.